Biblioteca Electrónica de Ciencia y Tecnología - Catálogo de publicaciones

Institución detectada	Año de publicación	Navegá	Descargá	Solicitá
No detectada	2007	SpringerLink

Tidal Freshwater Swamps of the Southeastern United States: Effects of Land Use, Hurricanes, Sea-level Rise, and Climate Change

Thomas W. Doyle; Calvin P. O’Neil; Marcus P.V. Melder; Andrew S. From; Monica M. Palta

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 1-28

doi: 10.1007/978-1-4020-5095-4_2

Hydrology of Tidal Freshwater Forested Wetlands of the Southeastern United States

Richard H. Day; Thomas M. Williams; Christopher M. Swarzenski

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 29-63

doi: 10.1007/978-1-4020-5095-4_3

Soils and Biogeochemistry of Tidal Freshwater Forested Wetlands

Christopher J. Anderson; B. Graeme Lockaby

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 65-88

doi: 10.1007/978-1-4020-5095-4_4

Plant Community Composition of a Tidally Influenced, Remnant Atlantic White Cedar Stand in Mississippi

Bobby D. Keeland; John W. McCoy

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 89-112

doi: 10.1007/978-1-4020-5095-4_5

Sediment, Nutrient, and Vegetation Trends Along the Tidal, Forested Pocomoke River, Maryland

Daniel E. Kroes; Cliff R. Hupp; Gregory B. Noe

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 113-137

doi: 10.1007/978-1-4020-5095-4_6

Vegetation and Seed Bank Studies of Salt-Pulsed Swamps of the Nanticoke River, Chesapeake Bay

Andrew H. Baldwin

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 139-160

doi: 10.1007/978-1-4020-5095-4_7

Tidal Freshwater Swamps of a Lower Chesapeake Bay Subestuary

Richard D. Rheinhardt

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 161-182

doi: 10.1007/978-1-4020-5095-4_8

Biological, Chemical, and Physical Characteristics of Tidal Freshwater Swamp Forests of the Lower Cape Fear River/Estuary, North Carolina

Courtney T. Hackney; G. Brooks Avery; Lynn A. Leonard; Martin Posey; Troy Alphin

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 183-221

doi: 10.1007/978-1-4020-5095-4_9

Ecology of Tidal Freshwater Forests in Coastal Deltaic Louisiana and Northeastern South Carolina

William H. Conner; Ken W. Krauss; Thomas W. Doyle

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 223-253

doi: 10.1007/978-1-4020-5095-4_10

Ecology of the Coastal Edge of Hydric Hammocks on the Gulf Coast of Florida

Kimberlyn Williams; Michelina MacDonald; Kelly McPherson; Thomas H. Mirti

The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems: those requiring either analytic (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the course of events in the real world. The method employed converts all available knowledge to a canonical template form and endeavors to create chains of non-deductive inferences from the unknowns to the possible referents. Its method for this is consistent with the overall principle of ‘‘semantic preference’’ used to set up the original meaning representation

Pp. 255-289

Catálogo de publicaciones - libros

Ecology of Tidal Freshwater Swamps of the Southeastern United States

William H. Conner Thomas W. Doyle Ken W. Krauss

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Ciencias biológicas

Agricultura, silvicultura y pesca

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